Chart and table of population level and growth rate for the Melbourne, Australia metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the Melbourne population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Melbourne across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Melbourne was 470, a 0.86% increase year-by-year from 2022. Previously, in 2022, Melbourne population was 466, an increase of 0.87% compared to a population of 462 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Melbourne increased by 42. In this period, the peak population was 485 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Melbourne is shown in this column.
• Year on Year Change: This column displays the change in Melbourne population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Melbourne Population by Year. You can refer the same here

This dataset provides population forecasts by single year for 2023 to 2043. Prepared by SGS Economics and Planning (Feb-Sep 2024), forecasts are available for the municipality and small areas, as well as by gender and 5 year age groups.

Further information can be found on our City Forecasts page.

Related datasets are also available on Open Data.

About this dataset

Context

The dataset tabulates the Melbourne population by year. The dataset can be utilized to understand the population trend of Melbourne.

Content

The dataset constitues the following datasets

• Melbourne, AR Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Chart and table of population level and growth rate for the Palm Bay-Melbourne metro area from 1950 to 2025.

Humans have been living on the continent of Australia (name derived from "Terra Australis"; Latin for "the southern land") for approximately 65,000 years, however population growth was relatively slow until the nineteenth century. Europeans had made some contact with Australia as early as 1606, however there was no significant attempt at settlement until the late eighteenth century. By 1800, the population of Australia was approximately 350,000 people, and the majority of these were Indigenous Australians. As colonization progressed the number of ethnic Europeans increased while the Australian Aboriginal population was decimated through conflict, smallpox and other diseases, with some communities being exterminated completely, such as Aboriginal Tasmanians. Mass migration from Britain and China After the loss of its American colonies in the 1780s, the British Empire looked to other parts of the globe to expand its sphere of influence. In Australia, the first colonies were established in Sydney, Tasmania and Western Australia. Many of these were penal colonies which became home to approximately 164,000 British and Irish convicts who were transported to Australia between 1788 and 1868. As the decades progressed, expansion into the interior intensified, and the entire country was claimed by Britain in 1826. Inland colonization led to further conflict between European settlers and indigenous Australians, which cost the lives of thousands of natives. Inward expansion also saw the discovery of many natural resources, and most notably led to the gold rushes of the 1850s, which attracted substantial numbers of Chinese migrants to Australia. This mass migration from non-European countries eventually led to some restrictive policies being introduced, culminating with the White Australia Policy of 1901, which cemented ethnic-European dominance in Australian politics and society. These policies were not retracted until the second half of the 1900s. Independent Australia Australia changed its status to a British dominion in 1901, and eventually became independent in 1931. Despite this, Australia has remained a part of the British Commonwealth, and Australian forces (ANZAC) fought with the British and their Allies in both World Wars, and were instrumental in campaigns such as Gallipoli in WWI, and the South West Pacific Theater in WWII. The aftermath of both wars had a significant impact on the Australian population, with approximately 90 thousand deaths in both world wars combined, as well as 15 thousand deaths as a result of the Spanish flu pandemic following WWI, although Australia experienced a significant baby boom following the Second World War. In the past fifty years, Australia has promoted immigration from all over the world, and now has one of the strongest economies and highest living standards in the world, with a population that has grown to over 25 million people in 2020.

About this dataset

Context

The dataset tabulates the Melbourne population by year. The dataset can be utilized to understand the population trend of Melbourne.

Content

The dataset constitues the following datasets

• Melbourne, KY Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset tabulates the West Melbourne population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of West Melbourne across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of West Melbourne was 29,144, a 1.07% increase year-by-year from 2022. Previously, in 2022, West Melbourne population was 28,836, an increase of 3.33% compared to a population of 27,906 in 2021. Over the last 20 plus years, between 2000 and 2023, population of West Melbourne increased by 18,873. In this period, the peak population was 29,144 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the West Melbourne is shown in this column.
• Year on Year Change: This column displays the change in West Melbourne population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for West Melbourne Population by Year. You can refer the same here

The data underpins a study which aimed to investigate the impact of remoteness on the travel time and population catchment for all COVID-19 point-of-care-test sites within Victoria during Stage 4 restrictions during July 2020.

There are two files 'mesh_block_summary' and 'testing_site_summary'.

In relation to 'mesh_block_summary', please consider the points below. - The data provides the average travel time (in minutes) and distance (in metres) to the closest point-of-care-test site for each mesh block. MB_CODE16: Mesh block identifier Duration: Distance in metres Distance: Travel time in minutes MB_Category_Name_2016: Mesh block category Dwelling: Number of dwellings Person: Number of people

In relation to 'testing_site_summary', please consider the points below. - The data provides the average travel time (in minutes) and distance (in metres) for mesh blocks which were closest (based on travel time) to each test site. Site_Name: Name of point-of-care-test site Facility: Type of site Website: Site website COVID_Lat: Latitude coordinate COVID_Long: Longitude coordinate Dwelling: Number of dwellings within mesh blocks which were closest (based on travel time) to each test site. Population: Number of people within mesh blocks which were closest (based on travel time) to each test site. Mean_distance: Average distance (in metres) for closest mesh blocks Mean_duration: Average travel time (in minutes) for closest mesh blocks N_mesh_blocks: Number of mesh blocks which are closest Mean_catchment_IRSD: Mean 'Index of Relative Socioeconomic Disadvantage' for closest mesh blocks

The methodology to derive the data above has been detailed within the reference below: Lakhani A, Wollersheim D. COVID-19 test sites in Victoria approaching Stage 4 restrictions: evaluating the relationship between remoteness, travel time and population serviced. Aust N Z J Public Health. 2021 Dec;45(6):628-636. doi: 10.1111/1753-6405.13154. Epub 2021 Oct 28. PMID: 34709703; PMCID: PMC8652517.

The value of commercial building activity in Australia was forecasted to amount to around 43.2 billion Australian dollars in the 2025 fiscal year. This was around the same as the commercial building activity value as of fiscal year 2019, which reached over 43.3 billion Australian dollars.

Commercial building activity boom

The short-term increase in commercial building activity was attributable to strong employment and population growth. Buildings such as shops, hospitals, cafes, restaurants, schools, and offices have been required to fill the needs of the increasing Australian population. In addition, warehouses, factories, and wholesale distribution facilities have been required to further support this growth. In the tourism sector, there has been a need for more accommodation options in the major tourist destinations in the country.

Office space demand

In the office segment, the nation’s larger cities such as Melbourne and Sydney have remained competitive with some of the lowest vacancy rates in the world. In Sydney, the recent COVID-19 outbreak seemed to have led to a decline in office leasing enquiries, and therefore an increase in the vacancy rate in 2020. The same trend was seen in the prime office vacancy rate in Melbourne. It is yet to be seen if the office space demand will return to pre-pandemic levels in the near future.

The Australian commercial real estate market, valued at $34.07 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 8.46% from 2025 to 2033. This expansion is fueled by several key drivers. Strong population growth in major cities like Sydney, Melbourne, and Brisbane is increasing demand for office, retail, and industrial spaces. Furthermore, the burgeoning e-commerce sector is driving significant growth in the logistics and warehousing segments. Government infrastructure investments and a generally positive economic outlook also contribute to this positive market trajectory. While rising interest rates and potential economic slowdown pose some constraints, the long-term fundamentals of the Australian economy and the ongoing need for modern commercial spaces are expected to mitigate these risks. The market is segmented by property type (office, retail, industrial & logistics, hospitality, and others) and by city (Sydney, Melbourne, Brisbane, Adelaide, Canberra, Perth), reflecting diverse investment opportunities and regional variations in growth rates. Sydney and Melbourne are expected to remain dominant, given their established business ecosystems and high population densities. However, other cities such as Brisbane are witnessing significant growth driven by infrastructure development and population influx. The key players in this dynamic market, including Lendlease Corporation, Scentre Group Limited, and Mirvac, are well-positioned to capitalize on these growth opportunities. The segmentation of the market reveals significant potential within specific sectors. The industrial and logistics sector, driven by the e-commerce boom and supply chain optimization efforts, is anticipated to experience particularly strong growth. Similarly, the office sector, while facing some challenges from remote work trends, remains resilient due to the ongoing need for collaborative workspaces and central business district locations. The retail sector will continue to adapt to evolving consumer preferences, with a focus on experience-driven retail and omnichannel strategies. Careful consideration of factors like interest rate fluctuations, construction costs, and regulatory changes will be crucial for investors navigating the complexities of this dynamic market. The forecast period of 2025-2033 offers a promising outlook for sustained growth within this sector. Recent developments include: • October 2023: Costco is planning a major expansion in Australia, with several new warehouses under construction and several prime locations being considered for future locations. Costco currently operates 15 warehouses in Australia, with plans to expand to 20 within the next five years, based on current stores and potential locations., • July 2023: A 45-storey BTR tower will be developed by Lendlease and Japanese developer Daiwa House, completing the final phase of Lendlease's Melbourne Quarter project and its second Build-to-Rent (BTR) project in Australia. The USD 650 million deal, similar to Lend lease's first 443-unit BTR project under construction in the 5.5 hectares of mixed-use space at Brisbane Showground, is a stand-alone investment and is separate from the company's ongoing efforts to build a wider BTR partnership, which will include several assets.. Key drivers for this market are: Rapid Urbanization, Government Initiatives Actively promoting the Construction Activities. Potential restraints include: Rapid Urbanization, Government Initiatives Actively promoting the Construction Activities. Notable trends are: Retail real estate is expected to drive the market.

This data provides the major urban area boundaries used when setting noise limits for commercial, industrial and trade premises. The Environment Protection Regulations 2021 and the incorporated …Show full descriptionThis data provides the major urban area boundaries used when setting noise limits for commercial, industrial and trade premises. The Environment Protection Regulations 2021 and the incorporated Noise Protocol document, Noise limit and assessment protocol for the control of noise from commercial, industrial and trade premises and entertainment venues (EPA publication 1826) set the limits for commercial, industrial and trade noise. There are two methods for setting the noise limits depending on the location of the residence or other noise sensitive area. • major urban areas – large regional towns, cities and Melbourne, or • rural areas. The major urban area boundaries are aligned with: • The Melbourne metropolitan Urban Growth Boundary (UGB) (Vicmap Planning - Department of Environment, Land, Water and Planning, 2020) • If outside of the Melbourne UGB, the UGB of any other municipality with a population greater than 7,000 persons. Obtained from the relevant authority upon request or digitised from current published documentation. • If outside of a UGB, the Urban Centre and Localities (UCL) boundary (Australian Bureau of Statistics, 2016) of an urban centre with a population greater than 7,000 persons, including land within the whole of any Residential, Industrial, Commercial or Urban Growth zone from the Planning Scheme Zones (Vicmap Planning - Department of Environment, Land, Water and Planning, 2020) that are crossed by the UCL boundary. The dataset is generated each fortnight based on current planning scheme zones combined with the Melbourne UGB, the Greater Bendigo UGB, and the Urban Centre and Locality (UCL) ASGS Ed 2016 Digital Boundaries in ESRI Shapfile format’ [sic] from https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.004July 2016?OpenDocument.

About this dataset

Context

The dataset tabulates the Melbourne Beach population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Melbourne Beach across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Melbourne Beach was 3,261, a 0.52% increase year-by-year from 2022. Previously, in 2022, Melbourne Beach population was 3,244, an increase of 0.46% compared to a population of 3,229 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Melbourne Beach decreased by 59. In this period, the peak population was 3,339 in the year 2002. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Melbourne Beach is shown in this column.
• Year on Year Change: This column displays the change in Melbourne Beach population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Melbourne Beach Population by Year. You can refer the same here

Rapid environmental change presents a significant challenge to the persistence of natural populations. Rapid adaptation that increases population growth, enabling populations that declined following severe environmental change to grow and avoid extinction, is called evolutionary rescue. Numerous studies have shown that evolutionary rescue can indeed prevent extinction. Here, we extend those results by considering the demographic history of populations. To evaluate how demographic history influences evolutionary rescue, we created 80 populations of red flour beetle, Tribolium castaneum, with three classes of demographic history: diverse populations that did not experience a bottleneck, and populations that experienced either an intermediate or a strong bottleneck. We subjected these populations to a new and challenging environment for six discrete generations and tracked extinction and population size. Populations that did not experience a bottleneck in their demographic history avoided extinction entirely, while more than 20% of populations that experienced an intermediate or strong bottleneck went extinct. Similarly, among the extant populations at the end of the experiment, adaptation increased the growth rate in the novel environment the most for populations that had not experienced a bottleneck in their history. Taken together, these results highlight the importance of considering the demographic history of populations to make useful and effective conservation decisions and management strategies for populations experiencing environmental change that pushes them toward extinction.

1. Conservation of biodiversity in urban environments depends on the responses of species to the intensity of urban development. ‘Land sharing’ and ‘land sparing’ represent alternate ends of a gradient that conceptualises a trade-off between the human population and biodiversity. We used a linear optimisation procedure to 1) identify the optimal allocation of land for people and nature, 2) assess whether the optimal allocation is more similar to land sparing or land sharing, and 3) examine how this might change under scenarios of human population growth. 2. We surveyed birds in 28 landscapes, each 25 ha in size, along a gradient of human population density (zero to ~1600 persons/25 ha) in the Greater Melbourne region, Australia. Species’ responses to population density were estimated using generalised additive models (GAMs). These relationships were then used to determine the optimal allocation of land among different categories of population density based on maximising a community index, the geometric mean of relative abundance (G) of bird species. 3. Human population density was an important driver of the reporting rate for 28 species. Response curves differed among ‘urban avoider’, ‘urban adapter’ and ‘urban exploiter’ species. For the current human population in the study area, optimal allocation of land included elements of both land sharing and land sparing. However, for scenarios of increased population size, optimal allocation converged upon a land sparing design. 5. Synthesis and applications. Urban areas represent a mosaic of land uses that offer habitats of differing quality. Land sharing, based on sustaining biota amongst residential areas, performed poorly under all scenarios due to its inability to support species that depend on natural or semi-natural habitat. To sustain more than a homogenised avifauna in urban regions, large tracts of natural vegetation are needed within, or adjacent to, the urban environment. Protecting natural areas on urban fringes will be critical to the safeguarding of nature in the future as urban populations and land-use inevitably expand.

About this dataset

Context

The dataset tabulates the data for the Melbourne, AR population pyramid, which represents the Melbourne population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Melbourne, AR, is 39.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Melbourne, AR, is 35.2.
• Total dependency ratio for Melbourne, AR is 74.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Melbourne, AR is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Melbourne population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Melbourne for the selected age group is shown in the following column.
• Population (Female): The female population in the Melbourne for the selected age group is shown in the following column.
• Total Population: The total population of the Melbourne for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Melbourne Population by Age. You can refer the same here

The rent price index in Australia in the first quarter of 2025 was *****, marking an increase from the same quarter of the previous year. Rent prices had decreased in 2020; in Melbourne and Sydney, this was mainly attributed to the absence of international students during the coronavirus outbreak. The current state of the rental market in Australia The rental market in Australia has been marked by varying conditions across different regions. Among the capital cities, Sydney has long been recognized for having some of the highest average rents. As of March 2025, the average weekly rent for a house in Sydney was *** Australian dollars, which was the highest average rent across all major cities in Australia that year. Furthermore, due to factors like population growth and housing demand, regional areas have also seen noticeable increases in rental prices. For instance, households in the non-metropolitan area of New South Wales’ expenditure on rent was around ** percent of their household income in the year ending June 2024. Housing affordability in Australia Housing affordability remains a significant challenge in Australia, contributing to a trend where many individuals and families rent for prolonged periods. The underlying cause of this issue is the ongoing disparity between household wages and housing costs, especially in large cities. While renting offers several advantages, it is worth noting that the associated costs may not always align with the expectation of affordability. Approximately one-third of participants in a recent survey stated that they pay between ** and ** percent of their monthly income on rent. Recent government initiatives, such as the 2024 Help to Buy scheme, aim to make it easier for people across Australia to get onto the property ladder. Still, the multifaceted nature of Australia’s housing affordability problem requires continued efforts to strike a balance between market dynamics and the need for accessible housing options for Australians.

The Sports and Recreation Facilities Operation industry's revenue has rebounded over the past few years, after suffering sharp declines during the pandemic. Restrictions introduced crowd limits, which slashed industry revenue and profitability. However, the effects varied across states and locations with fewer and shorter lockdowns experienced smaller revenue declines. The industry has rebounded impressively, with record-breaking attendances at various sporting events promoting significant revenue growth for venue operators. Major sporting codes, including the AFL and NRL, set single-season attendance records in 2023 and 2024. The industry has also benefited from record-breaking attendances at the Australian Open and Australian Grand Prix in 2024. Strong downstream demand for these major events has helped the industry recover swiftly. However, government aid and alternative revenue from music events have also played key roles. The industry’s largest players are state government-backed management companies that rely on financial support to remain profitable, weighing down the industry’s overall profit margins. The return of major international musical artists has been pivotal in diversifying revenue streams and filling demand gaps in the offseasons of Australia’s major sporting codes. Overall, industry revenue is expected to rise at an annualised 4.8% over the five years through 2024-25, to $2.5 billion. This includes an anticipated rise of 1.2% in 2024-25. The industry is poised for revenue growth in the coming years, buoyed by population growth and increasing sports participation, which will drive demand for professional and community-level facilities. The continued expansion of major sporting codes and urban development trends will lead to new stadiums opening in leading Australian cities. Current major projects, including Tasmania's new Macquarie Point Stadium and Victoria’s Wyndham City Stadium, will be completed in the coming years, driving revenue growth and boosting industrywide employment. Preparations for the 2032 Brisbane Olympic Games will also benefit the industry, with the Federal Government and Queensland Government both committing to investments into numerous sporting facility upgrades. Expanded sporting infrastructure will underpin a forecast annualised 2.9% rise in revenue through the end of 2028-29, to $2.9 billion.

Sensitivity analysis

The Australian luxury residential property market, valued at $23.88 billion in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.75% from 2025 to 2033. This expansion is fueled by several key drivers. Strong economic performance in key cities like Sydney, Melbourne, and Brisbane, coupled with a burgeoning high-net-worth individual (HNWI) population, continues to underpin demand for premium properties. Furthermore, a limited supply of luxury housing stock in prime locations, combined with increasing preference for spacious, high-amenity homes, particularly villas and landed houses, contributes to sustained price appreciation. While rising interest rates present a potential restraint, the resilience of the luxury market segment, driven by wealthier buyers less susceptible to interest rate fluctuations, is expected to mitigate this effect. The market is segmented by property type (apartments/condominiums versus villas/landed houses) and location, with Sydney, Melbourne, and Brisbane dominating market share, reflecting their established luxury real estate markets and strong economic activity. Prominent developers like Metricon Homes, James Michael Homes, and others cater to this discerning clientele, offering bespoke designs and high-end finishes. The sustained growth trajectory indicates a promising outlook for investors and developers alike, although careful consideration of macroeconomic factors and regulatory changes will remain crucial. The forecast period (2025-2033) anticipates consistent market expansion, driven by ongoing demand from both domestic and international high-net-worth individuals. While the "Other Cities" segment demonstrates potential for growth, Sydney, Melbourne, and Brisbane are likely to maintain their dominant positions due to existing infrastructure, established luxury markets, and lifestyle appeal. The preference for villas and landed houses is expected to remain strong, reflecting a shift towards larger properties with increased privacy and outdoor space. However, the market will likely see some adjustments in response to economic conditions, including potential shifts in buyer preferences and developer strategies to meet evolving market demands. Maintaining a keen understanding of these dynamics will be critical for navigating the complexities of this dynamic market. Recent developments include: August 2023: Sydney-based boutique developer Made Property laid plans for a new apartment project along Sydney Harbour amid sustained demand for luxury waterfront properties. The Corsa Mortlake development, positioned on Majors Bay in the harbor city’s inner west, will deliver 20 three-bedroom apartments offering house-sized living spaces and ready access to a 23-berth marina accommodating yachts up to 20 meters. With development approval secured for the project, the company is moving quickly to construction. Made Property expects construction to be completed in late 2025., September 2023: A luxurious collection of private apartment residences planned for a prime double beachfront site in North Burleigh was released to the market for the first time with the official launch of ultra-premium apartment development Burly Residences, being delivered by leading Australian developer David Devine and his team at DD Living. The first stage of Burly Residences released to the market includes prestigious two and three-bedroom apartments – with or without multipurpose rooms – and four-bedroom plus multipurpose room apartments that deliver luxury and space with expansive ocean and beach views.. Key drivers for this market are: 4., Increasing Number of High Net-Worth Individuals (HNWIs). Potential restraints include: 4., Increasing Number of High Net-Worth Individuals (HNWIs). Notable trends are: Ultra High Net Worth Population Driving the Demand for Prime Properties.